An objective approach to cluster validation
Authors:
- 1 October 2006
- journal article
- Published by Elsevier in Pattern Recognition Letters
- Vol. 27 (13) , 1419-1430
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- FCM-Based Model Selection Algorithms for Determining the Number of ClustersPattern Recognition, 2004
- Performance evaluation of some clustering algorithms and validity indicesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
- A comparison of cluster validity criteria for a mixture of normal distributed dataPattern Recognition Letters, 2000
- A new cluster validity index for the fuzzy c-meanPattern Recognition Letters, 1998
- Cluster validation using graph theoretic conceptsPattern Recognition, 1997
- On cluster validity for the fuzzy c-means modelIEEE Transactions on Fuzzy Systems, 1995
- A possibilistic approach to clusteringIEEE Transactions on Fuzzy Systems, 1993
- Unsupervised optimal fuzzy clusteringIEEE Transactions on Pattern Analysis and Machine Intelligence, 1989
- Optimal Fuzzy Partitions: A Heuristic for Estimating the Parameters in a Mixture of Normal DistributionsIEEE Transactions on Computers, 1975
- A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated ClustersJournal of Cybernetics, 1973